garli - phylogenetic analysis of molecular sequence data using maximum-likelihood

       This manpage was written by Andreas Tille for the Debian distribution and can be used for any other usage
       of the program.

garli 2.1                                           June 2016                                           GARLI(1)

       GARLI,  Genetic  Algorithm  for Rapid Likelihood Inference is a program for inferring phylogenetic trees.
       Using an approach similar to a classical genetic algorithm, it rapidly searches the space of evolutionary
       trees and model  parameters  to  find  the  solution  maximizing  the  likelihood  score.  It  implements
       nucleotide,  amino  acid  and  codon-based  models  of sequence evolution, and runs on all platforms. The
       latest version adds support for partitioned models and morphology-like datatypes.

       garli - phylogenetic analysis of molecular sequence data using maximum-likelihood

-i, --interactive
              interactive mode (allow and/or expect user feedback)

       -b, --batch
              batch mode (do not expect user input) (batch is the default for the version you are running)

       -v, --version
              print version information and exit

       -h, --help
              print this help and exit

       -t     run internal tests (requires dataset and config file)

       -V     validate: load config file and data, validate config file, data,  starting  trees  and  constraint
              files, print required memory and selected model, then exit

       NOTE:  If no config filename is passed on the command line the program will look in the current directory
       for a file named "garli.conf"

garli [OPTION] [configfilename]